Energy, exergy, economic (3E) analyses and multi-objective optimization of vapor absorption heat transformer using NSGA-II technique. (15th September 2017)

• Record Type: Journal Article
• Authors: Jain, Vaibhav; Sachdeva, Gulshan
• Is Part Of: Energy conversion and management. Volume 148(2017)
• Page Start: 1096
• Page End: 1113
• Publication Date: 2017-09-15
• Subjects: Absorption heat transformer -- Performance -- Size -- Cost -- Optimization; Direct energy conversion -- Periodicals; Energy storage -- Periodicals; Energy transfer -- Periodicals; Énergie -- Conversion directe -- Périodiques; Direct energy conversion; Periodicals; 621.3105
• DOI: 10.1016/j.enconman.2017.06.055
• Languages: English
• ISSNs: 0196-8904

Abstract

Highlights: Study includes energy, exergy and economic analyses of absorption heat transformer. It addresses multi-objective optimization study using NSGA-II technique. Total annual cost and total exergy destruction are simultaneously optimized. Results with multi-objective optimized design are more acceptable than other. Abstract: Present paper addresses the energy, exergy and economic (3E) analyses of absorption heat transformer (AHT) working with LiBr-H2 O fluid pair. The heat exchangers namely absorber, condenser, evaporator, generator and solution heat exchanger are designed for the size and cost estimation of AHT. Later, the effect of operating variables is examined on the system performance, size and cost. Simulation studies showed a conflict between thermodynamic and economic performance of the system. The heat exchangers with lower investment cost showed high irreversible losses and vice versa. Thus, the operating variables of systems are determined economically as well as thermodynamically by implementing non-dominated sort genetic algorithm-II (NSGA-II) technique of multi-objective optimization. In present work, if the cost based optimized design is chosen, total exergy destruction is 2.4% higher than its minimum possible value; whereas, if total exergy based optimized design is chosen, total annual cost is 6.1% higher than its minimum possible value. On the other hands, total annual cost and total exergy destruction are only 1.0% and 0.8%, respectively more from their minimum possible values with multi-objective optimized design. Thus, the multi-objective optimized design of the AHT is best outcome than any other single-objective optimized designs.